neighbayes.models.priors.REGibbsPriors¶

class neighbayes.models.priors.REGibbsPriors(beta_mu=0.0, beta_sigma=1000000.0, rho_lower=-0.999, rho_upper=0.999)[source]¶

Prior hyperparameters for RE panel Gibbs sampler.

Inherits beta_mu / beta_sigma / rho_lower / rho_upper from GibbsBasePriors. The σ² and σ_α² blocks use weakly informative Jeffreys priors p(·) ∝ 1/(·) (approximated as Inv-Γ(ε, ε) with ε = 1e-3) and take no hyperparameters.

__init__(beta_mu=0.0, beta_sigma=1000000.0, rho_lower=-0.999, rho_upper=0.999)[source]¶

Methods

__init__([beta_mu, beta_sigma, rho_lower, ...])

Attributes

beta_mu
beta_sigma
rho_lower
rho_upper

beta_mu = 0.0[source]¶

beta_sigma = 1000000.0[source]¶

rho_lower = -0.999[source]¶

rho_upper = 0.999[source]¶